Skip to main content
SpringerLink
Log in

Numerical and Physical Modeling of the Effect of Roughness Height on Cavitation Index in Chute Spillways

  • Research paper
  • Published:
International Journal of Civil Engineering Aims and scope Submit manuscript

Abstract

This study presents the results of physical and numerical modeling of the effect of bed roughness height of chute spillways on the cavitation index. A 1:50-scale physical hydraulic model of the chute spillway of Surk Dam was constructed at the hydraulic laboratory of Shahrekord University, Iran. The experiments were conducted for different flow rates and the parameters of pressure, velocity, and flow depth in 26 positions along the chute. Finally, the ANSYS-FLUENT model was calibrated in the chute spillway using the experimental data by assumptions of two-phase volume of fluid and k–ε (RNG) turbulence models. The cavitation index in different sections of the chute spillway was calculated for different values of bed roughness including the roughness heights of 1, 2, and 2.5 mm. Results showed that the minimum values of the cavitation index were 0.2906, 0.2733, and 0.2471 for the roughness heights of 1, 2, and 2.5 mm, respectively. The statistical significance analysis showed that reducing the roughness height from 2.5 to 1 mm would not change significantly the value of the cavitation index at 95% confidence interval.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Notes

  1. US Army Corps of Engineers.

  2. Re-Normalisation Group.

References

  1. Bhosekar VV, Jothiprakash V, Deolalikar PB (2012) Orifice spillway aerator: hydraulic design. Journal of Hydraulic Engineering 138(6):563–572. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000548

    Article  Google Scholar 

  2. Fiedler W (2016) Managing dam safety risks related to hydraulic of the accuracy. In: B Crookston, B Tullis (eds) Hydraulic structures and water system management. 6th IAHR international symposium on hydraulic structures, Portland, OR, pp 508–518. https://doi.org/10.15142/t3720628160853

  3. Lee W, Hoopes JA (1996) Prediction of cavitation damage for spillways. J Hydraul Eng 122(9):481–488. https://doi.org/10.1061/(ASCE)0733-9429(1996)122:9(481)

    Article  Google Scholar 

  4. Inozemtsev YP (1969) Cavitation destruction of concrete and protective facings under natural conditions. Power Technology and Engineering 3(1):24–29

    Article  Google Scholar 

  5. Kells JA, Smith CD (1991) Reduction of cavitation on spillways by induced air entrainment. Can J Civ Eng 18(3):358–377. https://doi.org/10.1139/l91-047

    Article  Google Scholar 

  6. Rajasekhar P, Santhosh YVG, Soma Sekhar S (2014) Physical and numerical model studies on cavitation phenomenon—a study on Nagarjuna Sagar spillway. International Journal of Recent Development in Engineering and Technology 2(1):2347–6435

    Google Scholar 

  7. Heiner BJ, Shupe ChC (2017) El Vado Dam—service spillway modification-physical model study. Hydraulic Laboratory Techniques, U.S. Department of the Interior, Report No. HL-2017-02

  8. Nazari O, Jabbari E, Sarkardeh H (2015) Dynamic pressure analysis at chute flip buckets of five dam model studies. Int J Civ Eng Trans A Civ Eng 13(1):45–54

    Google Scholar 

  9. Ozturk M, Aydin MC (2009) Verification of a 3-D numerical model for spillway aerator. Math Comput Appl 14(1):21–30

    Google Scholar 

  10. Dehdar-behbahani S, Parsaie A (2016) Numerical modeling of flow pattern in dam spillway’s guide wall Case study: Balaroud dam, Iran. Alexandria Eng J 55(1):467–473. https://doi.org/10.1016/j.aej.2016.01.006

    Article  Google Scholar 

  11. Eskanadari Sabzi A, Afrous A (2015) Examining the effect of cavitation on crest spillway using Ansys-fluent software. J Sci Res Dev 2(5):303–308

    Google Scholar 

  12. Kamanbedast AA, Bahmani M, Aghamajidi R (2014) The effect of surface roughness on discharge coefficient and cavitations of ogee spillways using physical models. J Appl Sci Agric 9(6):2442–2448

    Google Scholar 

  13. Ghodousi H, Abedini AM (2016) Simultaneous effect of convergence and reducing slope of chute construction on the economic of the plan and cavitation Index (Case study: Daharan Dam). Open J Geol 6(7):617–625. https://doi.org/10.4236/ojg.2016.67048

    Article  Google Scholar 

  14. Teng PH (2017) CFD modelling of two-phase flows at spillway aerator. TRITA-HYD, No. 02, p 56

  15. Naseri F, Sarkardeh H, Jabbari E (2018) Effect of inlet flow condition on hydrodynamic parameters of stilling basins. Acta Mech 229(3):1415–1428. https://doi.org/10.1007/s00707-017-2069-z

    Article  Google Scholar 

  16. Chakib B (2018) Numerical study of turbulent flow for moderate-slope stepped spillways. Malays J Civ Eng 30(1):57–68

    Google Scholar 

  17. ANSYS FLUENT (2013) 15.0 theory guide

  18. Falvey H (1990) Cavitation in chute and spillway. Bureau of Recamation. Denever Co. Use

  19. Boes R, Hager WH (2003) Two-phase characteristics of stepped spillways. J Hydraul Eng 129(9):661–670. https://doi.org/10.1061/(ASCE)0733-9429

    Article  Google Scholar 

  20. Aftab SMA, Mohd Rafie AS, Razak NA, Ahmad KA (2016) Turbulence model selection for low Reynolds number flows. PLOS ONE 11(4):e0153755. https://doi.org/10.1371/journal.pone.0153755

    Article  Google Scholar 

  21. Chaudhury D (1993) Introduction to the renormalization group method and turbulence modeling. Fluent Inc. Technical Memorandum TM-107

  22. Dargahi B (2004) Experimental study and 3D numerical simulations for a free over flow spillway. J Hydraul Eng 132(9):899–907

    Article  Google Scholar 

  23. Colquhoun D (2017) The reproducibility of research and the misinterpretation of p-values. R Soc Open Sci 4(12):171085. https://doi.org/10.1098/rsos.171085

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

Deputy of research in Shahrekord University is highly appreciated because of providing a part of the cost to conduct this research.

Author information

Authors and Affiliations

  1. Water Engineering Department, Shahrekord University, Shahrekord, 88186-34141, Iran

    Hossein Samadi-Boroujeni, Sohail Abbasi & Rohallah Fattahi-Nafchi

  2. University of Technology Sydney, Sydney, 2000, Australia

    Hossein Samadi-Boroujeni

  3. School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, 2000, Australia

    Ali Altaee

Authors
  1. Hossein Samadi-Boroujeni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sohail Abbasi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ali Altaee
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rohallah Fattahi-Nafchi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hossein Samadi-Boroujeni.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Samadi-Boroujeni, H., Abbasi, S., Altaee, A. et al. Numerical and Physical Modeling of the Effect of Roughness Height on Cavitation Index in Chute Spillways. Int J Civ Eng 18, 539–550 (2020). https://doi.org/10.1007/s40999-019-00479-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40999-019-00479-2

Keywords

Search

Navigation